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Knoth, Petr; Zilka, Lukas and Zdrahal, Zdenek
(2011).
URL: http://research.nii.ac.jp/ntcir/ntcir-9/
Abstract
This paper describes the methods used in the submission of Knowledge Media institute (KMI), The Open University to the NTCIR-9 Cross-Lingual Link Discovery (CLLD)task entitled CrossLink. KMI submitted four runs for link discovery from English to Chinese; however, the developed methods, which utilise Explicit Semantic Analysis (ESA), are applicable also to other language combinations. Three of the runs are based on exploiting the existing cross-lingual mapping between different versions of Wikipedia articles. In the fourth run, we assume information about the mapping is not available. Our methods achieved encouraging results and we describe in detail how their performance can be further improved. Finally, we discuss two important issues in link discovery: the evaluation methodology and the applicability of the developed methods across dfferent textual collections.
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- Item ORO ID
- 31065
- Item Type
- Conference or Workshop Item
- Keywords
- Cross-lingual Link Discovery; Link Discovery; Semantic Similarity; Explicit Semantic Analysis; NTCIR; Wikipedia; CORE
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
-
Centre for Research in Computing (CRC)
Big Scientific Data and Text Analytics Group (BSDTAG) - Copyright Holders
- © 2011 The Authors
- Related URLs
- Depositing User
- Kay Dave